Toward an autonomous feature-based pointing system for planetary missions
| Autor: | Richard H. Stanton, George E. Sevaston, Gabriel Udomkesmalee |
|---|---|
| Rok vydání: | 1993 |
| Předmět: |
Spacecraft
Process (engineering) business.industry Computer science media_common.quotation_subject Real-time computing Feature extraction Image processing Ephemeris Space exploration Feature (computer vision) Computer vision Artificial intelligence Space Science business Function (engineering) media_common |
| Zdroj: | SPIE Proceedings. |
| ISSN: | 0277-786X |
| Popis: | Although the analytical groundwork for understanding two-dimensional object images and various aspects of computer vision has been laid, we have not yet applied these concepts to automating the process of obtaining science images during space exploration missions. Our current approach in specifying pointing-command sequences relies heavily on target predicts, based on predicted target and spacecraft ephemerides, that propagate the target position as a function of time during pointing operations. However, because the actual position of the target is never measured on board, the tracking loop must be closed through the ground processing operation. This round-trip communication-time limit can place severe limits on pointing accuracy, particularly during brief moments of closest approach. In this paper, we formulate and outline autonomous feature-based pointing requirements that can support a wide range of space science missions. The issues addressed include target-position estimation; acquisition and tracking of unresolved, partially viewed, and close-up targets; operation, and validation of point designs. Detailed algorithms and test results based on Voyager image data are also presented.© (1993) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|